Channel capacity of MIMO system with variable . حسب Usman Haider (12630481)

"…Each antenna subarray connects a separate RF chain and it can only transmit one data stream. The RF chain is made to keep the beamforming weights of subarray antenna elements in a TDM fashion. …"

The speed of anchor-based algorithms. حسب Olarewaju Mubashiru Lawal (14710251)

Genome-wide identification of candidate regions associated with birth weight in Lori-Bakhtiari sheep using Random Forest algorithm حسب Mohammad Hossein Moradi (11400671)

"…This study was conducted to identify genetic loci associated with birth weight in a meat-type sheep using a Random Forest (RF) algorithm applied to genomic data. A total of 132 Lori-Bakhtiari sheep were selected based on breeding values (EBVs) for body weight. …"

AI-Driven Personalization in Digital Marketing: Algorithmic Approaches and Applications in the Life Sciences Industry حسب Rittu Sara Raju (21211616)

"…<p dir="ltr"><i>This paper examines how artificial intelligence (AI) is transforming digital marketing in the life sciences industry, where strict regulations and sensitive data present unique challenges. By combining perspectives from business management, industrial microbiology, and AI, the work explores how advanced personalization strategies—powered by algorithms such as collaborative filtering, reinforcement learning, and neural networks—can deliver more targeted, effective, and compliant marketing campaigns. …"

Corporate network anomaly detection methodology utilizing machine learning algorithms حسب Nazerke Baisholan (22048322)

Performance evaluation of different ML algorithms. حسب Shaik Ahamed Fayaz (19859670)

الموضوعات:

The performance of the four algorithms. حسب Zheng Liu (28397)

الموضوعات:

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction حسب Mohamad A. Raja (19640297)

"…To preform accurate forecasts on energy storage, a data-driven machine learning approach based on artificial neural networks (ANN) was optimized via a Bayesian optimization algorithm to predict the structural battery’s future capacity. …"

Algorithm flowchart. حسب Mingyi Huo (21743594)

Parameters of smart appliances used in the developed model. حسب Hisham Alghamdi (20114096)

Visual representation of Trust and elements that are needed for equitable data sharing. حسب Qunita Brown (19751520)

Data and Scripts for 'Application of Multidimensional Cognitive Ability Tests in Computer-Assisted Diagnosis of Attention-Deficit/Hyperactivity Disorder and Its Subtypes in Childre... حسب Wang (20310746)

"…The present study recruited 316 children aged 6 to 14 years, including 98 with the inattentive subtype, 80 with the combined subtype, and 138 typically developing controls. Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …"

Abbreviations used in the algorithm. حسب Richa Jain (6550391)

Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx حسب Xinying Yu (16400811)

"…</p>Conclusion<p>This study represents the first application of an ML algorithm techniques to the endoscopic classification of serrated polyps. …"

Data propagation algorithm stages. حسب Fazia Akhtar (21453122)

الموضوعات:

Demonstration of algorithm convergence. حسب Quyuan Wang (8724972)

الموضوعات:

Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

"…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…"

The details of the results related to the evaluated algorithms. حسب Mohammadreza Namdar (22439057)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. حسب Borjan Milinkovic (21349908)

Image 2_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.pdf حسب Benedictor Alexander Nguchu (9984371)

"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"